3325 Full Stack Web Dev Dev Ops Engineer jobs in Chicago,IL

amazon warehouse $15+/ Hour (Sign on Bonus)!

Amazon

Chicago, IL 60290

$15/hr

Watch Netflix (Tagger): $12-$46

Netflix

Oak Park, IL 60303

Warehouse Loader (Full Time/Part Time) - PepsiCo $18-$26/hr

Pepsi

Cicero, IL 60804

$18-$26/hr

No ExperienceFlexible Schedule

ResumeLibrary

Remote Data Entry Operator Full & Part Time

Apex Focus Group

Skokie, IL 60077

$750/wk

Remote

New, Posted 14 hours ago

Quantum AI Scientist: Hybrid Quantum ML & Simulation

role

Chicago, IL 60290

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Systems Engineer II - Microsoft Platform Engineering

Endeavor Health

Skokie, IL 60076

Hybrid~ 27 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Location: Skokie, IL
Full Time
Hours: Monday-Friday, 8:00AM - 5:00PM
Hybrid Position
Required Travel: local travel to other corporate sites will be required as needed (Arlington Heights, Warrenville)
Education: Bachelor's degree in relevant field preferred, or equivalent work experience
Experience: 5+ Years Five (5) or more years of experience of related experience in IT Systems, Platform Engineering or Technical Engineering related to the role's specific technology portfolio
Windows Platform Engineering
Functional Knowledge of Cloud platforms and deployment models (AWS, Azure, GCP, etc.), Office 365, Microsoft Exchange, Microsoft Active Directory / Entra AD, Azure Tenant management and configuration, MS Windows Servers, Security, PKI / Certificate Management, Server Hardware (e.g., HP Synergy, Cisco UCS), Mobile Device Management (MDM) Platforms (e.g. Microsoft InTune, WorkspaceOne), messaging and collaboration platforms (e.g. Webex, Teams, SharePoint, etc.), DNS / DHCP management (e.g. Infoblox), Data Loss Protection (DLP) (e.g. ForcePoint, Microsoft, ProofPoint, etc.); anti-virus (e.g. Crowdstrike, Trend, etc.), compliance, vulnerability management, patch management, monitoring, restoration, performance, architecture, and lifecycle management, etc.
Knowledge of AI (Artificial Intelligence) technologies and models.
Knowledge of Cloud Computing and Platforms (e.g., Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP).
Knowledge of SaaS and Hosting platforms.
Knowledge of Automation technologies.